To use R most efficiently and effectively, you must understand the data types and data structures of R, because the Machine Learning algorithms such as Support Vector Machine (SVM), decision tree, and even linear regression and logistic regression have optimization components. The use of the correct data types is the key part of the performance of optimization. Also, to perform matrix operations, the user must use matrix data types. Moreover, the user needs to know the use of correct variables into the statistical model, and understanding R data types is the important aspect in this area. Here are the data types that will help you store and manage your data correctly and efficiently:
- Character
- Numeric
- Logical
- Integer
- Complex
The data structure of R is the way to organize the dataset for data storage and analytics purposes. Each of the different data structures can...
